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Job at Swiss Re in Greater London
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13 jobs at Swiss Re

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Quantitative Risk Actuary (London, GB)

Job at Swiss Re in Greater London

Are you an actuary looking for an exciting opportunity to apply your expertise in a global environment? Do you want to play a key role in assessing and enhancing (re)insurance risk models? If so, we invite you to join Swiss Re’s Actuarial Control team within Group Risk Management!

About the Role

As part of the Actuarial Control team within Group Risk Management, you will use your actuarial knowledge and skillset to assess (re)insurance risks and their quantification, to help safeguard the resilience of Swiss Re, and thereby its commitment to make its customers and the world more resilient.

Your key responsibilities will be the following: • Carrying out model validations by providing independent reviews and opinions of the quantitative risk (stochastic) models used to value the re(insurance) risks within our internal solvency model. • Preparing reports for senior management and regulators, providing your insights into model soundness and appropriateness. • Applying advanced statistical and data science techniques to assess the methodology and explore alternative model structures and parameters. • Assessment of the uncertainties, limitations, and shortcomings of the current risk models based on sound and clear quantitative or qualitative argumentation. • Monitoring and keeping track of regulatory changes affecting (re)insurance risk modelling such as FINMA Standard Re model or industry benchmarks.

About the Team

The team's remit is global and spans both Life & Health and Property & Casualty business, providing support to the Group Chief Actuary and Group CRO. Our team is also small and geographically dispersed, providing the opportunity to work in a variety of areas.

About You

You have excellent interpersonal and communication skills with good spoken and written English. You’re naturally curious and enjoy breaking down complex problems into clear, simple concepts. You’re not afraid to step outside your comfort zone, eager to take on new challenges and build your expertise. With strong analytical skills, you can manage large, complex data sets while keeping an eye on the bigger picture. Essentials: • University degree in a quantitative field (e.g. mathematics) with strong academic performance. • Qualified Actuary or pursuing actuarial qualifications, with experience in the P&C (Re)insurance industry. • Experience using programming/scripting languages (e.g., MATLAB, R, Python, SAS). • Highly motivated with a strong desire to learn and a proven track record of quickly adapting to new challenges.

We are looking forward to your application! We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder. #LI-Hybrid

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

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ID 1151407 Sectors:
in London, Greater London, England
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